Triple
T31463037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaghnobi people |
E802654
|
entity |
| Predicate | valleyAltitude |
P66809
|
FINISHED |
| Object | high mountain valley |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: high mountain valley | Statement: [Yaghnobi people, valleyAltitude, high mountain valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valleyAltitude Context triple: [Yaghnobi people, valleyAltitude, high mountain valley]
-
A.
valleyHeightAboveGround
Indicates the vertical distance between the valley’s lowest point and the surrounding ground level.
-
B.
elevationAboveValley
chosen
Indicates the vertical height or altitude of an entity measured relative to the lowest point of the surrounding valley.
-
C.
mountainHeight
Indicates the vertical elevation or height of a mountain, typically measured from sea level.
-
D.
countryAltitudeCharacteristic
Indicates a characteristic relationship specifying the typical or notable altitude or elevation associated with a country.
-
E.
highestCampAltitudeMetres
Indicates the maximum altitude in meters reached by any camp associated with the entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f348c84c1c81908739f100ecf7394e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:21 p.m.